Sagar D. Khare

Molecular Biology · 2007–2020

A researcher in the Science corpus: 11 papers; trusts 21 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 400 citations into it; #5,968 of 17,773 by trust here, #2,422 by citations
• Materials Chemistry — 184 citations into it; #3,914 of 11,513 by trust here, #3,323 by citations
• Radiology, Nuclear Medicine and Imaging — 57 citations into it
• Spectroscopy — 49 citations into it
• Computational Biology & Bioinformatics — 48 citations into it
• Organic Chemistry — 17 citations into it
• Biomedical Engineering — 5 citations into it

Whom Sagar D. Khare trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David Baker
2. Brian Kuhlman
3. Stephen L. Mayo
4. A. Zanghellini
5. Lin Jiang
6. Tanja Kortemme
7. Andrew Leaver-Fay
8. John Karanicolas
9. Sarel Jacob Fleishman
10. James J. Havranek

Who trusts Sagar D. Khare overall

1. I. Samish
2. L. Nivón
3. Xingjie Pan
4. Po-Ssu Huang
5. Jiayi Dou
6. Douglas M. Fowler

Papers from Sagar D. Khare's perspective

Ordered by how strongly the researchers Sagar D. Khare trusts endorse each paper. Same corpus, a different order for every researcher.

1. Computational redesign of protein-protein interaction specificity (Nature Structural &Molecular Biology)
2. Native protein sequences are close to optimal for their structures.
3. De novo protein design: fully automated sequence selection.
4. Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
5. RosettaHoles: Rapid assessment of protein core packing for structure prediction, refinement, design, and validation
6. Kemp elimination catalysts by computational enzyme design
7. De Novo Computational Design of Retro-Aldol Enzymes
8. Effective energy function for proteins in solution
9. Modeling structurally variable regions in homologous proteins with rosetta
10. Computational design of proteins targeting the conserved stem region of influenza hemagglutinin

Their papers

• Structure prediction for CASP7 targets using extensive all‐atom refinement with Rosetta@home (2007) — 222 citations
• RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite (2011) — 614 citations
• Systematic Comparison of Amber and Rosetta Energy Functions for Protein Structure Evaluation. (2018) — 28 citations
• Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
• De Novo Enzyme Design Using Rosetta3 (2011) — 337 citations
• Computational Design of Ligand Binding Proteins with High Affinity and Selectivity (2013) — 425 citations
• Emerging themes in the computational design of novel enzymes and protein–protein interfaces (2013) — 53 citations
• Quantitative reactivity profiling predicts functional cysteines in proteomes (2010) — 1,518 citations
• A computational method for the design of nested proteins by loop‐directed domain insertion (2018) — 3 citations
• MFPred: Rapid and accurate prediction of protein-peptide recognition multispecificity using self-consistent mean field theory (2017) — 15 citations
• Computational Design of an Unnatural Amino Acid Dependent Metalloprotein with Atomic Level Accuracy (2013) — 104 citations